TY - GEN
T1 - Drone Detection and Identification System using Artificial Intelligence
AU - Lee, Dongkyu Rroyr
AU - Gyu La, Woong
AU - Kim, Hwangnam
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/16
Y1 - 2018/11/16
N2 - As drone attracts much interest, the drone industry has opened their market to ordinary people, making drones to be used in daily lives. However, as it got easier for drone to be used by more people, safety and security issues have raised as accidents are much more likely to happen: colliding into people by losing control or invading secured properties. For safety purposes, it is essential for observers and drone to be aware of an approaching drone. In this paper, we introduce a comprehensive drone detection system based on machine learning. This system is designed to be operable on drones with camera. Based on the camera images, the system deduces location on image and vendor model of drone based on machine classification. The system is actually built with OpenCV library. We collected drone imagery and information for learning process. The system's output shows about 89 percent accuracy.
AB - As drone attracts much interest, the drone industry has opened their market to ordinary people, making drones to be used in daily lives. However, as it got easier for drone to be used by more people, safety and security issues have raised as accidents are much more likely to happen: colliding into people by losing control or invading secured properties. For safety purposes, it is essential for observers and drone to be aware of an approaching drone. In this paper, we introduce a comprehensive drone detection system based on machine learning. This system is designed to be operable on drones with camera. Based on the camera images, the system deduces location on image and vendor model of drone based on machine classification. The system is actually built with OpenCV library. We collected drone imagery and information for learning process. The system's output shows about 89 percent accuracy.
KW - artificial intelligence
KW - classifier
KW - deep learning
KW - detection
KW - image processing
UR - http://www.scopus.com/inward/record.url?scp=85059458820&partnerID=8YFLogxK
U2 - 10.1109/ICTC.2018.8539442
DO - 10.1109/ICTC.2018.8539442
M3 - Conference contribution
AN - SCOPUS:85059458820
T3 - 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018
SP - 1131
EP - 1133
BT - 9th International Conference on Information and Communication Technology Convergence
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Information and Communication Technology Convergence, ICTC 2018
Y2 - 17 October 2018 through 19 October 2018
ER -